What is ANOVA (Analysis of Variance) in Statistics? | Simple and in-depth explanations |

‪@blessingE825‬
ANOVA stands for Analysis of Variance, which is a statistical method used to analyze the differences between two or more groups. Here are some keywords related to ANOVA:
Variance: ANOVA is based on the variance in the data, which is a measure of how spread out the values are.
Null hypothesis: ANOVA is used to test the null hypothesis that there is no significant difference between the means of two or more groups.
F-statistic: ANOVA calculates an F-statistic, which is the ratio of the between-group variance to the within-group variance.
Degrees of freedom: ANOVA uses degrees of freedom to calculate the F-statistic. There are two types of degrees of freedom: numerator degrees of freedom and denominator degrees of freedom.
One-way ANOVA: This is used when there is only one independent variable (factor) that is being tested.
Two-way ANOVA: This is used when there are two independent variables (factors) being tested, and their interaction is also of interest.
This video shows the basic Concepts or introduction to ANOVA (Analysis of Variance), the difference between F-test and t-test, and also how to calculate, solve or find ANOVA. Simple and in-depth explanation of ANOVA by / @blessinge825
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[@paulehizode4135]

My amazing tutor... This is ANOVA concept demystified!

[@blessingE825]

Glad it was helpful!

[@ednaclems]

Thanks my Amazing Tutor for simplifying this concept

[@blessingE825]

Glad it was helpful!